01445nam0 2200361 450 00003721720140707152519.084-7039-352-920140702d1980----km-y0itaa50------baspaESSignos que aparecerán antes del juicio finalDuelo de la virgenMartirio de San LorenzoGonzalo de Berceoedición, introducción y notas de Arturo M. RamonedaMadridCastalia1980308 p., [3] carte di tav.ill.18 cmClásicos Castalia962001Clásicos Castalia962001Signos que aparecerán antes del juicio final2001Duelo de la virgen2001Martirio de San Lorenzo860.1(22. ed.)Letteratura spagnola. Primo periodo, fino al 1369Berceo,Gonzalo de163144Ramoneda,Arturo M.ITUniversità della Basilicata - B.I.A.REICATunimarc000037217Signos que aparecer�n antes del juicio final102365Martirio de San Lorenzo102367Duelo de la virgen102366UNIBASLETTEREEXT0160120140702BAS011613TTM3020140707BAS011525BAS01BAS01BOOKBASA1Polo Storico-UmanisticoDSLFCollezione DiSLFDF/E282368F3682014070204Prestabile Didattica03424nam 2200397 450 991079354090332120190509070315.01-78953-696-0(CKB)4100000007878189(MiAaPQ)EBC5744479(CaSebORM)9781789530759(PPN)236074830(EXLCZ)99410000000787818920190423d2019 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierTensorflow 2. 0 quick start guide get up to speed with the newly introduced features of tensorflow 2.0 /Tony Holdroyd1st editionBirmingham, England ;Mumbai :Packt,2019.1 online resource (185 pages)1-78953-075-X Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks. Key Features Train your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book Description TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques. What you will learn Use tf.Keras for fast prototyping, building, and training deep learning neural network models Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications Understand image recognition techniques using TensorFlow Perform neural style transfer for image hybridization using a neural network Code a recurrent neural network in TensorFlow to perform text-style generation Who this book is for Data scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will find this book useful. Some Python programming experience with version 3.6 or later, along with a familiarity with Jupyter notebooks will be an added advantage. Exposure to machine learning and neural network techniques would also be helpful.Machine learningStatistical methodsMachine learningStatistical methods.006.31Holdroyd Tony1471843MiAaPQMiAaPQMiAaPQBOOK9910793540903321Tensorflow 2. 0 quick start guide3684305UNINA01203nam0 22002771i 450 UON0020560720231205103312.32020030730e19701934 |0itac50 barusDE|||| |||||Sobranie sočinenij i pisem, 1828-1876M. A. Bakuninpod red. i primeč. Ju. M. SteklovaDüsseldorfBrücken ; VaduzEurope Printing19704 v.22 cmRipr. facs. dell'ed.: Moskva : Izd. Vsesojuznogo Obščestva Politkartorzan i Ssyl'no-Poselencev, 1934.DEDüsseldorfUONL000307947.081Storia della Russia. regno di Alessandro II, 1855-188121BAKUNINMichail AleksandrovičUONV123278719385STEKLOVJu.M.UONV123279Europe PrintingUONV266069650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00205607SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI EO DUOMO IX D 0619 SI EO 3555 5 0619 Sobranie sočinenij i pisem, 1828-18761736436UNIOR02351nam0 2200469 i 450 BVE002305920251003044050.08842039004IT92-7846 19920725d1992 ||||0itac50 baitaitz01i xxxe z01nVescovi borbonici e Stato liberale1860-1861Bruno PellegrinoRoma [etc.]Laterza[1992]170 p.21 cm.Biblioteca di cultura moderna1016001CFI00004812001 Biblioteca di cultura moderna1016VESCOVIItalia meridionale1860-1861FIRRAVC043488IChiesa e StatoItalia1860-1861FIRLO1C026216I282.45CHIESA CATTOLICA ROMANA. ITALIA21282.457CHIESA CATTOLICA ROMANA. Italia meridionale21945.08STORIA D'ITALIA. SVILUPPO DEL NAZIONALISMO, 1796-187019945.08STORIA. ITALIA, 1796-190021945.7STORIA. ITALIA MERIDIONALE21945.708Storia dell'Italia meridionale. 1799-190014945.70833STORIA DELL'ITALIA MERIDIONALE. PERIODO DI FERDINANDO II E FRANCESCO II, 1830-186120Vescovi <Clero>VescoviVescovi <Clero>Pellegrino, Bruno <1946- ; San Cesario di Lecce>CFIV016380070437314ITIT-00000019920725IT-BN0095 IT-AV0011 IT-NA0079 IT-NA0070 IT-CE0072 IT-NA0120 IT-NA0097 NAP AHSALASTUDIOEx sala studio, ora secondo pianoNAP CEBIBL.SOPR.$NAP SPNF. NUOVO FONDONAP 01POZZO LIB.Vi sono collocati fondi di economia, periodici di ingegneria e scienze, periodici di economia e statistica e altri fondi comprendenti documenti di economia pervenuti in dono. BVE0023059Biblioteca Centralizzata di Ateneo1 v. 01POZZO LIB.ECON MON 9471 0101 0000086995E VMA 1 v. (precedente collocazione: GUERRAZZI A 25)B 2007091820070918 01 AH BN BU CE CR SPVescovi borbonici e Stato liberale61159UNISANNIO